lstm.seas.harvard.edu
LSTMVisA visual analysis tool for recurrent neural networks
http://lstm.seas.harvard.edu/
A visual analysis tool for recurrent neural networks
http://lstm.seas.harvard.edu/
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LSTMVis | lstm.seas.harvard.edu Reviews
https://lstm.seas.harvard.edu
A visual analysis tool for recurrent neural networks
lstm.seas.harvard.edu
LSTM Vis
http://lstm.seas.harvard.edu/client/index.html
Visual Analysis for Recurrent Neural Networks. LSTMVis allows you to interactively analyze the hidden state vectors of a recurrent neural network model, by simply selecting and comparing regions of the input. To demonstrate the system, we have provided a set of real example models and datasets to play with, including several word and character language models for text, music and code, a sequence auto-encoder, a German.
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http://nlp.seas.harvard.edu/papers
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. Lie-Access Neural Turing Machines. Greg Yang and Alexander M. Rush. Interpreting, Training, and Distilling Seq2Seq Models. What You Get Is What You See: A Visual Markup Decompiler. Yuntian Deng, Anssi Kanervisto, and Alexander M. Rush. Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. Hendrik Strobelt, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, and Alexander M. Rush. Yoon Kim and Alexander M. Rush. Proceedings of AAA...
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LSTMVis
Visual Analysis for Recurrent Neural Networks. Alexander M. Rush. Recurrent neural networks, and in particular long short-term memory networks (LSTMs), are a remarkably effective tool for sequence processing that learn a dense black-box hidden representation of their sequential input. Researchers interested in better understanding these models have studied the changes in hidden state representations over time and noticed some interpretable patterns but also significant noise.
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Sie befinden sich hier:. Zu den allgemeinen Informationen springen. Department Chemie- und Bioingenieurwesen. Friedrich-Alexander-Universität Erlangen Nürnberg. Deutsche Universität FAU Busan. Prof Dr.-Ing. habil. Wir begrüßen Sie sehr herzlich auf den Internetseiten des Lehrstuhls für Strömungsmechanik (LSTM) der Technischen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg. Werden einzelne Forschungsschwerpunkte intensiv betreut. In den an Studiengängen Chemie- und Bioingenieurwesen.
LSTM: Start Page
Go to the general information. Germany University FAU Busan:. Prof Dr.-Ing. habil. Welcome to the website of the Institute of Fluid Mechanics (LSTM) at the Technical Faculty of the Friedrich-Alexander-Universität Erlangen-Nürnberg. We are an academic unit of the Department of Chemical and Biological Engineering with research and educational focus on mass, momentum and energy transport in natural and technical processes. Go to the top. Last Change: 09.12.2014, 19:07. 33 MB, german). Go to the top.
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